← Authors

Keqing He

42 papers · 2020–2025 · 6 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (6) πŸƒ Academic Marathon (5) 🐝 Cross-Pollinator (11) 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (78) πŸ”¬ Deep Specialist (13) πŸ† Keyword Champion (13) 🀝 Dynamic Duo (39) πŸ’Ž Century Club (42) πŸ—ƒοΈ Keyword Collector (127) πŸ”₯ Unstoppable (6) ❓ The Questioner (2) ⚑ Prolific Year (10)

Conferences

EMNLP (13) ACL (10) COLING (9) NAACL (5) IJCNLP (3) ICLR (2)

Top co-authors

Weiran Xu (39) Yanan Wu (14) Jingang Wang (14) Yuanmeng Yan (14) Pei Wang (12) Yutao Mou (11) Zhiyuan Zeng (9) Weihao Zeng (9) Guanting Dong (8) Yejie Wang (8)

Keywords

dialogue system (13) out-of-domain detection (13) representation learning (9) intent classification (9) contrastive learning (7) intent detection (7) slot filling (7) large language model (6) zero-shot learning (6) task-oriented dialogue (6) intent discovery (5) out-of-distribution detection (5) language model (4) knowledge distillation (3) adversarial augmentation (3) domain adaptation (3) knowledge transfer (2) semi-supervised learning (2) prototype learning (2) semantic structure (2)

Papers

PreAct: Prediction Enhances Agent’s Planning Ability COLING 2025
AgentRefine: Enhancing Agent Generalization through Refinement Tuning ICLR 2025
BootTOD: Bootstrap Task-oriented Dialogue Representations by Aligning Diverse Responses COLING 2024
Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection COLING 2024
DivTOD: Unleashing the Power of LLMs for Diversifying Task-Oriented Dialogue Representations NAACL 2024
What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning ICLR 2024
DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning ACL 2024
How Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good Data EMNLP 2024
Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models EMNLP 2024
Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT EMNLP 2023
FutureTOD: Teaching Future Knowledge to Pre-trained Language Model for Task-Oriented Dialogue ACL 2023
Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery ACL 2023
Seen to Unseen: Exploring Compositional Generalization of Multi-Attribute Controllable Dialogue Generation ACL 2023
Generative Zero-Shot Prompt Learning for Cross-Domain Slot Filling with Inverse Prompting ACL 2023
APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection EMNLP 2023
Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition EMNLP 2023
DemoNSF: A Multi-task Demonstration-based Generative Framework for Noisy Slot Filling Task EMNLP 2023
Revisit Overconfidence for OOD Detection: Reassigned Contrastive Learning with Adaptive Class-dependent Threshold NAACL 2022
Domain-Oriented Prefix-Tuning: Towards Efficient and Generalizable Fine-tuning for Zero-Shot Dialogue Summarization NAACL 2022
Disentangled Knowledge Transfer for OOD Intent Discovery with Unified Contrastive Learning ACL 2022
Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation COLING 2022
PSSAT: A Perturbed Semantic Structure Awareness Transferring Method for Perturbation-Robust Slot Filling COLING 2022
Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery EMNLP 2022
UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning EMNLP 2022
Disentangling Confidence Score Distribution for Out-of-Domain Intent Detection with Energy-Based Learning EMNLP 2022
Semi-Supervised Knowledge-Grounded Pre-training for Task-Oriented Dialog Systems EMNLP 2022
Generalized Intent Discovery: Learning from Open World Dialogue System COLING 2022
Novel Slot Detection: A Benchmark for Discovering Unknown Slot Types in the Task-Oriented Dialogue System ACL 2021
Bridge to Target Domain by Prototypical Contrastive Learning and Label Confusion: Re-explore Zero-Shot Learning for Slot Filling EMNLP 2021
A Finer-grain Universal Dialogue Semantic Structures based Model For Abstractive Dialogue Summarization EMNLP 2021
Novel Slot Detection: A Benchmark for Discovering Unknown Slot Types in the Task-Oriented Dialogue System IJCNLP 2021
Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning IJCNLP 2021
Scheduled Dialog Policy Learning: An Automatic Curriculum Learning Framework for Task-oriented Dialog System IJCNLP 2021
Dynamically Disentangling Social Bias from Task-Oriented Representations with Adversarial Attack NAACL 2021
Adversarial Self-Supervised Learning for Out-of-Domain Detection NAACL 2021
Scheduled Dialog Policy Learning: An Automatic Curriculum Learning Framework for Task-oriented Dialog System ACL 2021
Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning ACL 2021
A Deep Generative Distance-Based Classifier for Out-of-Domain Detection with Mahalanobis Space COLING 2020
Syntactic Graph Convolutional Network for Spoken Language Understanding COLING 2020
Contrastive Zero-Shot Learning for Cross-Domain Slot Filling with Adversarial Attack COLING 2020
Learning to Tag OOV Tokens by Integrating Contextual Representation and Background Knowledge ACL 2020
Adversarial Semantic Decoupling for Recognizing Open-Vocabulary Slots EMNLP 2020